Task 13299609
| Name | ParityModified-1647046342-27517-1-0_0 |
| Workunit | 10414465 |
| Created | 17 Mar 2022, 0:06:42 UTC |
| Sent | 22 Mar 2022, 19:37:45 UTC |
| Report deadline | 30 Mar 2022, 19:37:45 UTC |
| Received | 24 Mar 2022, 2:28:18 UTC |
| Server state | Over |
| Outcome | Success |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 21129 |
| Run time | 2 hours 41 min 40 sec |
| CPU time | 2 hours 22 min 55 sec |
| Validate state | Valid |
| Credit | 4,160.00 |
| Device peak FLOPS | 4,378.10 GFLOPS |
| Application version | Machine Learning Dataset Generator (GPU) v9.75 (cuda10200) windows_x86_64 |
| Peak working set size | 1.62 GB |
| Peak swap size | 3.61 GB |
| Peak disk usage | 1.54 GB |
Stderr output
<core_client_version>7.16.20</core_client_version> <![CDATA[ <stderr_txt> 13:16:21 main:574] : INFO : Epoch 1654 | loss: 0.0311366 | val_loss: 0.0311551 | Time: 4424.38 ms [2022-03-23 13:16:25 main:574] : INFO : Epoch 1655 | loss: 0.0311361 | val_loss: 0.0311536 | Time: 4490.36 ms [2022-03-23 13:16:30 main:574] : INFO : Epoch 1656 | loss: 0.0311352 | val_loss: 0.0311558 | Time: 4366.06 ms [2022-03-23 13:16:34 main:574] : INFO : Epoch 1657 | loss: 0.0311355 | val_loss: 0.0311522 | Time: 4486.94 ms [2022-03-23 13:16:39 main:574] : INFO : Epoch 1658 | loss: 0.0311358 | val_loss: 0.0311504 | Time: 4399.79 ms [2022-03-23 13:16:43 main:574] : INFO : Epoch 1659 | loss: 0.0311345 | val_loss: 0.0311515 | Time: 4442.52 ms [2022-03-23 13:16:48 main:574] : INFO : Epoch 1660 | loss: 0.0311313 | val_loss: 0.0311547 | Time: 4470.2 ms [2022-03-23 13:16:52 main:574] : INFO : Epoch 1661 | loss: 0.0311305 | val_loss: 0.0311529 | Time: 4415.47 ms [2022-03-23 13:16:57 main:574] : INFO : Epoch 1662 | loss: 0.0311328 | val_loss: 0.0311556 | Time: 4439.68 ms [2022-03-23 13:17:01 main:574] : INFO : Epoch 1663 | loss: 0.0311319 | val_loss: 0.0311526 | Time: 4379.46 ms [2022-03-23 13:17:06 main:574] : INFO : Epoch 1664 | loss: 0.0311357 | val_loss: 0.0311535 | Time: 4465.43 ms [2022-03-23 13:17:10 main:574] : INFO : Epoch 1665 | loss: 0.0311351 | val_loss: 0.0311552 | Time: 4370.22 ms [2022-03-23 13:17:15 main:574] : INFO : Epoch 1666 | loss: 0.0311344 | val_loss: 0.0311547 | Time: 4432.6 ms [2022-03-23 13:17:19 main:574] : INFO : Epoch 1667 | loss: 0.0311314 | val_loss: 0.0311522 | Time: 4455.83 ms [2022-03-23 13:17:24 main:574] : INFO : Epoch 1668 | loss: 0.0311306 | val_loss: 0.0311538 | Time: 4412.16 ms [2022-03-23 13:17:28 main:574] : INFO : Epoch 1669 | loss: 0.0311314 | val_loss: 0.0311556 | Time: 4427.39 ms [2022-03-23 13:17:33 main:574] : INFO : Epoch 1670 | loss: 0.0311329 | val_loss: 0.0311538 | Time: 4358.86 ms [2022-03-23 13:17:37 main:574] : INFO : Epoch 1671 | loss: 0.0311307 | val_loss: 0.0311541 | Time: 4450.92 ms [2022-03-23 13:17:42 main:574] : INFO : Epoch 1672 | loss: 0.0311315 | val_loss: 0.0311522 | Time: 4453.29 ms [2022-03-23 13:17:46 main:574] : INFO : Epoch 1673 | loss: 0.0311303 | val_loss: 0.0311572 | Time: 4472.53 ms [2022-03-23 13:17:51 main:574] : INFO : Epoch 1674 | loss: 0.0311293 | val_loss: 0.0311524 | Time: 4437.61 ms [2022-03-23 13:17:55 main:574] : INFO : Epoch 1675 | loss: 0.0311276 | val_loss: 0.0311568 | Time: 4392.04 ms [2022-03-23 13:18:00 main:574] : INFO : Epoch 1676 | loss: 0.0311285 | val_loss: 0.0311528 | Time: 4454.37 ms [2022-03-23 13:18:04 main:574] : INFO : Epoch 1677 | loss: 0.0311369 | val_loss: 0.0311611 | Time: 4427.2 ms [2022-03-23 13:18:09 main:574] : INFO : Epoch 1678 | loss: 0.0311412 | val_loss: 0.031157 | Time: 4528.71 ms [2022-03-23 13:18:13 main:574] : INFO : Epoch 1679 | loss: 0.0311369 | val_loss: 0.0311546 | Time: 4364.64 ms [2022-03-23 13:18:18 main:574] : INFO : Epoch 1680 | loss: 0.0311344 | val_loss: 0.0311566 | Time: 4434.13 ms [2022-03-23 13:18:22 main:574] : INFO : Epoch 1681 | loss: 0.0311329 | val_loss: 0.0311545 | Time: 4391.77 ms [2022-03-23 13:18:26 main:574] : INFO : Epoch 1682 | loss: 0.0311298 | val_loss: 0.0311554 | Time: 4421.74 ms [2022-03-23 13:18:31 main:574] : INFO : Epoch 1683 | loss: 0.0311292 | val_loss: 0.0311544 | Time: 4459.93 ms [2022-03-23 13:18:35 main:574] : INFO : Epoch 1684 | loss: 0.0311276 | val_loss: 0.0311551 | Time: 4355.23 ms [2022-03-23 13:18:40 main:574] : INFO : Epoch 1685 | loss: 0.0311284 | val_loss: 0.0311542 | Time: 4454.89 ms [2022-03-23 13:18:44 main:574] : INFO : Epoch 1686 | loss: 0.0311268 | val_loss: 0.0311561 | Time: 4367.65 ms [2022-03-23 13:18:49 main:574] : INFO : Epoch 1687 | loss: 0.031128 | val_loss: 0.0311578 | Time: 4421.49 ms [2022-03-23 13:18:53 main:574] : INFO : Epoch 1688 | loss: 0.031129 | val_loss: 0.0311587 | Time: 4394.16 ms [2022-03-23 13:18:58 main:574] : INFO : Epoch 1689 | loss: 0.031128 | val_loss: 0.0311555 | Time: 4416.51 ms [2022-03-23 13:19:02 main:574] : INFO : Epoch 1690 | loss: 0.0311284 | val_loss: 0.0311531 | Time: 4605.43 ms [2022-03-23 13:19:07 main:574] : INFO : Epoch 1691 | loss: 0.0311284 | val_loss: 0.0311544 | Time: 4392.86 ms [2022-03-23 13:19:12 main:574] : INFO : Epoch 1692 | loss: 0.0311262 | val_loss: 0.0311573 | Time: 4528.4 ms [2022-03-23 13:19:16 main:574] : INFO : Epoch 1693 | loss: 0.0311288 | val_loss: 0.031158 | Time: 4410.59 ms [2022-03-23 13:19:21 main:574] : INFO : Epoch 1694 | loss: 0.0311309 | val_loss: 0.0311597 | Time: 4462.36 ms [2022-03-23 13:19:25 main:574] : INFO : Epoch 1695 | loss: 0.0311303 | val_loss: 0.0311579 | Time: 4473.29 ms [2022-03-23 13:19:30 main:574] : INFO : Epoch 1696 | loss: 0.0311293 | val_loss: 0.0311586 | Time: 4396.37 ms [2022-03-23 13:19:34 main:574] : INFO : Epoch 1697 | loss: 0.0311299 | val_loss: 0.0311569 | Time: 4492.31 ms [2022-03-23 13:19:39 main:574] : INFO : Epoch 1698 | loss: 0.031127 | val_loss: 0.0311538 | Time: 4455.84 ms [2022-03-23 13:19:43 main:574] : INFO : Epoch 1699 | loss: 0.0311277 | val_loss: 0.0311541 | Time: 4427.4 ms [2022-03-23 13:19:48 main:574] : INFO : Epoch 1700 | loss: 0.0311287 | val_loss: 0.0311505 | Time: 4389.81 ms [2022-03-23 13:19:52 main:574] : INFO : Epoch 1701 | loss: 0.0311295 | val_loss: 0.0311533 | Time: 4455.64 ms [2022-03-23 13:19:57 main:574] : INFO : Epoch 1702 | loss: 0.0311277 | val_loss: 0.0311522 | Time: 4414.51 ms [2022-03-23 13:20:01 main:574] : INFO : Epoch 1703 | loss: 0.0311266 | val_loss: 0.0311518 | Time: 4407.02 ms [2022-03-23 13:20:06 main:574] : INFO : Epoch 1704 | loss: 0.0311255 | val_loss: 0.031154 | Time: 4601.69 ms [2022-03-23 13:20:10 main:574] : INFO : Epoch 1705 | loss: 0.031126 | val_loss: 0.031153 | Time: 4450.31 ms [2022-03-23 13:20:15 main:574] : INFO : Epoch 1706 | loss: 0.0311248 | val_loss: 0.031154 | Time: 4505.15 ms [2022-03-23 13:20:19 main:574] : INFO : Epoch 1707 | loss: 0.0311281 | val_loss: 0.0311539 | Time: 4432.4 ms [2022-03-23 13:20:24 main:574] : INFO : Epoch 1708 | loss: 0.0311308 | val_loss: 0.0311571 | Time: 4505.99 ms [2022-03-23 13:20:28 main:574] : INFO : Epoch 1709 | loss: 0.0311341 | val_loss: 0.0311545 | Time: 4517.2 ms [2022-03-23 13:20:33 main:574] : INFO : Epoch 1710 | loss: 0.0311307 | val_loss: 0.0311532 | Time: 4433.46 ms [2022-03-23 13:20:38 main:574] : INFO : Epoch 1711 | loss: 0.0311283 | val_loss: 0.0311538 | Time: 4504.09 ms [2022-03-23 13:20:42 main:574] : INFO : Epoch 1712 | loss: 0.0311284 | val_loss: 0.0311567 | Time: 4504.6 ms [2022-03-23 13:20:47 main:574] : INFO : Epoch 1713 | loss: 0.0311395 | val_loss: 0.0311591 | Time: 4469.86 ms [2022-03-23 13:20:52 main:574] : INFO : Epoch 1714 | loss: 0.0311403 | val_loss: 0.0311617 | Time: 4460.7 ms [2022-03-23 13:20:56 main:574] : INFO : Epoch 1715 | loss: 0.0311382 | val_loss: 0.0311603 | Time: 4504.78 ms [2022-03-23 13:21:01 main:574] : INFO : Epoch 1716 | loss: 0.0311355 | val_loss: 0.0311634 | Time: 4522.27 ms [2022-03-23 13:21:06 main:574] : INFO : Epoch 1717 | loss: 0.0311337 | val_loss: 0.0311596 | Time: 4616.54 ms [2022-03-23 13:21:10 main:574] : INFO : Epoch 1718 | loss: 0.0311326 | val_loss: 0.0311599 | Time: 4583.99 ms [2022-03-23 13:21:15 main:574] : INFO : Epoch 1719 | loss: 0.0311303 | val_loss: 0.0311592 | Time: 4500.71 ms [2022-03-23 13:21:19 main:574] : INFO : Epoch 1720 | loss: 0.0311315 | val_loss: 0.0311597 | Time: 4453.95 ms [2022-03-23 13:21:24 main:574] : INFO : Epoch 1721 | loss: 0.0311324 | val_loss: 0.0311621 | Time: 4448.29 ms [2022-03-23 13:21:28 main:574] : INFO : Epoch 1722 | loss: 0.0311319 | val_loss: 0.0311608 | Time: 4507.77 ms [2022-03-23 13:21:33 main:574] : INFO : Epoch 1723 | loss: 0.0311391 | val_loss: 0.0311627 | Time: 4422.16 ms [2022-03-23 13:21:38 main:574] : INFO : Epoch 1724 | loss: 0.0311454 | val_loss: 0.0311615 | Time: 4544.39 ms [2022-03-23 13:21:42 main:574] : INFO : Epoch 1725 | loss: 0.0311375 | val_loss: 0.0311572 | Time: 4436.2 ms [2022-03-23 13:21:47 main:574] : INFO : Epoch 1726 | loss: 0.031136 | val_loss: 0.0311577 | Time: 4444.5 ms [2022-03-23 13:21:51 main:574] : INFO : Epoch 1727 | loss: 0.0311351 | val_loss: 0.0311636 | Time: 4568.18 ms [2022-03-23 13:21:56 main:574] : INFO : Epoch 1728 | loss: 0.0316385 | val_loss: 0.0333186 | Time: 4452.19 ms [2022-03-23 13:22:00 main:574] : INFO : Epoch 1729 | loss: 0.0349924 | val_loss: 0.0325023 | Time: 4472.4 ms [2022-03-23 13:22:05 main:574] : INFO : Epoch 1730 | loss: 0.0339175 | val_loss: 0.0326507 | Time: 4481.92 ms [2022-03-23 13:22:09 main:574] : INFO : Epoch 1731 | loss: 0.0320501 | val_loss: 0.0314973 | Time: 4537.52 ms [2022-03-23 13:22:14 main:574] : INFO : Epoch 1732 | loss: 0.0313549 | val_loss: 0.0312792 | Time: 4523.82 ms [2022-03-23 13:22:19 main:574] : INFO : Epoch 1733 | loss: 0.0312366 | val_loss: 0.0312046 | Time: 4387.56 ms [2022-03-23 13:22:23 main:574] : INFO : Epoch 1734 | loss: 0.0311935 | val_loss: 0.0311819 | Time: 4459.23 ms [2022-03-23 13:22:28 main:574] : INFO : Epoch 1735 | loss: 0.0311786 | val_loss: 0.0311765 | Time: 4515.51 ms [2022-03-23 13:22:32 main:574] : INFO : Epoch 1736 | loss: 0.0311772 | val_loss: 0.0311796 | Time: 4499.17 ms [2022-03-23 13:22:37 main:574] : INFO : Epoch 1737 | loss: 0.0311732 | val_loss: 0.0311747 | Time: 4529.31 ms [2022-03-23 13:22:41 main:574] : INFO : Epoch 1738 | loss: 0.031177 | val_loss: 0.0311746 | Time: 4425.42 ms [2022-03-23 13:22:46 main:574] : INFO : Epoch 1739 | loss: 0.0311668 | val_loss: 0.0311981 | Time: 4499.66 ms [2022-03-23 13:22:51 main:574] : INFO : Epoch 1740 | loss: 0.0311735 | val_loss: 0.0311687 | Time: 4535.99 ms [2022-03-23 13:22:56 main:574] : INFO : Epoch 1741 | loss: 0.031163 | val_loss: 0.0311712 | Time: 5005.68 ms [2022-03-23 13:23:00 main:574] : INFO : Epoch 1742 | loss: 0.031164 | val_loss: 0.0311887 | Time: 4545.06 ms [2022-03-23 13:23:05 main:574] : INFO : Epoch 1743 | loss: 0.0311681 | val_loss: 0.0311767 | Time: 4478.51 ms [2022-03-23 13:23:10 main:574] : INFO : Epoch 1744 | loss: 0.031172 | val_loss: 0.0311729 | Time: 4516.09 ms [2022-03-23 13:23:14 main:574] : INFO : Epoch 1745 | loss: 0.031166 | val_loss: 0.0311726 | Time: 4465.22 ms [2022-03-23 13:23:19 main:574] : INFO : Epoch 1746 | loss: 0.0311624 | val_loss: 0.0311701 | Time: 4492.76 ms [2022-03-23 13:23:23 main:574] : INFO : Epoch 1747 | loss: 0.0311564 | val_loss: 0.0311698 | Time: 4438.05 ms [2022-03-23 13:23:28 main:574] : INFO : Epoch 1748 | loss: 0.0311626 | val_loss: 0.0311831 | Time: 4445.29 ms [2022-03-23 13:23:32 main:574] : INFO : Epoch 1749 | loss: 0.0311618 | val_loss: 0.0311713 | Time: 4470.13 ms [2022-03-23 13:23:37 main:574] : INFO : Epoch 1750 | loss: 0.0311634 | val_loss: 0.0311691 | Time: 4516.61 ms [2022-03-23 13:23:41 main:574] : INFO : Epoch 1751 | loss: 0.0311596 | val_loss: 0.0311836 | Time: 4461.14 ms [2022-03-23 13:23:46 main:574] : INFO : Epoch 1752 | loss: 0.0311637 | val_loss: 0.0311648 | Time: 4501.64 ms [2022-03-23 13:23:51 main:574] : INFO : Epoch 1753 | loss: 0.0311542 | val_loss: 0.0311652 | Time: 4423.34 ms [2022-03-23 13:23:55 main:574] : INFO : Epoch 1754 | loss: 0.0311547 | val_loss: 0.0311662 | Time: 4428.96 ms [2022-03-23 13:24:00 main:574] : INFO : Epoch 1755 | loss: 0.0311548 | val_loss: 0.0311648 | Time: 4501.78 ms [2022-03-23 13:24:04 main:574] : INFO : Epoch 1756 | loss: 0.0311531 | val_loss: 0.0311646 | Time: 4580.82 ms [2022-03-23 13:24:09 main:574] : INFO : Epoch 1757 | loss: 0.0311527 | val_loss: 0.031164 | Time: 4531.54 ms [2022-03-23 13:24:13 main:574] : INFO : Epoch 1758 | loss: 0.0311524 | val_loss: 0.0311645 | Time: 4455.42 ms [2022-03-23 13:24:18 main:574] : INFO : Epoch 1759 | loss: 0.0311499 | val_loss: 0.0311644 | Time: 4476.75 ms [2022-03-23 13:24:23 main:574] : INFO : Epoch 1760 | loss: 0.0311571 | val_loss: 0.0311681 | Time: 4510.72 ms [2022-03-23 13:24:27 main:574] : INFO : Epoch 1761 | loss: 0.0311497 | val_loss: 0.0311675 | Time: 4495.79 ms Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: NVIDIA GeForce GTX 1060 6GB) [2022-03-23 13:27:48 main:435] : INFO : Set logging level to 1 [2022-03-23 13:27:48 main:441] : INFO : Running in BOINC Client mode [2022-03-23 13:27:48 main:444] : INFO : Resolving all filenames [2022-03-23 13:27:48 main:452] : INFO : Resolved: dataset.hdf5 => dataset.hdf5 (exists = 1) [2022-03-23 13:27:48 main:452] : INFO : Resolved: model.cfg => model.cfg (exists = 1) [2022-03-23 13:27:48 main:452] : INFO : Resolved: model-final.pt => model-final.pt (exists = 0) [2022-03-23 13:27:48 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 1) [2022-03-23 13:27:48 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 1) [2022-03-23 13:27:48 main:472] : INFO : Dataset filename: dataset.hdf5 [2022-03-23 13:27:48 main:474] : INFO : Configuration: [2022-03-23 13:27:48 main:475] : INFO : Model type: GRU [2022-03-23 13:27:48 main:476] : INFO : Validation Loss Threshold: 0.0001 [2022-03-23 13:27:49 main:477] : INFO : Max Epochs: 2048 [2022-03-23 13:27:49 main:478] : INFO : Batch Size: 128 [2022-03-23 13:27:49 main:479] : INFO : Learning Rate: 0.01 [2022-03-23 13:27:49 main:480] : INFO : Patience: 10 [2022-03-23 13:27:49 main:481] : INFO : Hidden Width: 12 [2022-03-23 13:27:49 main:482] : INFO : # Recurrent Layers: 4 [2022-03-23 13:27:49 main:483] : INFO : # Backend Layers: 4 [2022-03-23 13:27:49 main:484] : INFO : # Threads: 1 [2022-03-23 13:27:49 main:486] : INFO : Preparing Dataset [2022-03-23 13:27:49 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from dataset.hdf5 into memory [2022-03-23 13:27:49 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from dataset.hdf5 into memory [2022-03-23 13:27:51 load:106] : INFO : Successfully loaded dataset of 2048 examples into memory. [2022-03-23 13:27:51 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from dataset.hdf5 into memory [2022-03-23 13:27:52 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from dataset.hdf5 into memory [2022-03-23 13:27:52 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2022-03-23 13:27:52 main:494] : INFO : Creating Model [2022-03-23 13:27:52 main:507] : INFO : Preparing config file [2022-03-23 13:27:52 main:511] : INFO : Found checkpoint, attempting to load... [2022-03-23 13:27:52 main:512] : INFO : Loading config [2022-03-23 13:27:52 main:514] : INFO : Loading state [2022-03-23 13:27:53 main:559] : INFO : Loading DataLoader into Memory [2022-03-23 13:27:53 main:562] : INFO : Starting Training [2022-03-23 13:27:58 main:574] : INFO : Epoch 1754 | loss: 0.0337812 | val_loss: 0.0316458 | Time: 4718.74 ms [2022-03-23 13:28:02 main:574] : INFO : Epoch 1755 | loss: 0.0314739 | val_loss: 0.0313305 | Time: 4411.03 ms Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: NVIDIA GeForce GTX 1060 6GB) [2022-03-23 14:11:45 main:435] : INFO : Set logging level to 1 [2022-03-23 14:11:45 main:441] : INFO : Running in BOINC Client mode [2022-03-23 14:11:45 main:444] : INFO : Resolving all filenames [2022-03-23 14:11:45 main:452] : INFO : Resolved: dataset.hdf5 => dataset.hdf5 (exists = 1) [2022-03-23 14:11:45 main:452] : INFO : Resolved: model.cfg => model.cfg (exists = 1) [2022-03-23 14:11:45 main:452] : INFO : Resolved: model-final.pt => model-final.pt (exists = 0) [2022-03-23 14:11:45 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 1) [2022-03-23 14:11:45 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 1) [2022-03-23 14:11:45 main:472] : INFO : Dataset filename: dataset.hdf5 [2022-03-23 14:11:45 main:474] : INFO : Configuration: [2022-03-23 14:11:45 main:475] : INFO : Model type: GRU [2022-03-23 14:11:45 main:476] : INFO : Validation Loss Threshold: 0.0001 [2022-03-23 14:11:45 main:477] : INFO : Max Epochs: 2048 [2022-03-23 14:11:45 main:478] : INFO : Batch Size: 128 [2022-03-23 14:11:45 main:479] : INFO : Learning Rate: 0.01 [2022-03-23 14:11:45 main:480] : INFO : Patience: 10 [2022-03-23 14:11:46 main:481] : INFO : Hidden Width: 12 [2022-03-23 14:11:46 main:482] : INFO : # Recurrent Layers: 4 [2022-03-23 14:11:46 main:483] : INFO : # Backend Layers: 4 [2022-03-23 14:11:46 main:484] : INFO : # Threads: 1 [2022-03-23 14:11:46 main:486] : INFO : Preparing Dataset [2022-03-23 14:11:46 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from dataset.hdf5 into memory [2022-03-23 14:11:46 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from dataset.hdf5 into memory Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: NVIDIA GeForce GTX 1060 6GB) [2022-03-23 15:57:19 main:435] : INFO : Set logging level to 1 [2022-03-23 15:57:19 main:441] : INFO : Running in BOINC Client mode [2022-03-23 15:57:19 main:444] : INFO : Resolving all filenames [2022-03-23 15:57:19 main:452] : INFO : Resolved: dataset.hdf5 => dataset.hdf5 (exists = 1) [2022-03-23 15:57:19 main:452] : INFO : Resolved: model.cfg => model.cfg (exists = 1) [2022-03-23 15:57:19 main:452] : INFO : Resolved: model-final.pt => model-final.pt (exists = 0) [2022-03-23 15:57:19 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 1) [2022-03-23 15:57:19 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 1) [2022-03-23 15:57:19 main:472] : INFO : Dataset filename: dataset.hdf5 [2022-03-23 15:57:19 main:474] : INFO : Configuration: [2022-03-23 15:57:19 main:475] : INFO : Model type: GRU [2022-03-23 15:57:19 main:476] : INFO : Validation Loss Threshold: 0.0001 [2022-03-23 15:57:19 main:477] : INFO : Max Epochs: 2048 [2022-03-23 15:57:20 main:478] : INFO : Batch Size: 128 [2022-03-23 15:57:20 main:479] : INFO : Learning Rate: 0.01 [2022-03-23 15:57:20 main:480] : INFO : Patience: 10 [2022-03-23 15:57:20 main:481] : INFO : Hidden Width: 12 [2022-03-23 15:57:20 main:482] : INFO : # Recurrent Layers: 4 [2022-03-23 15:57:20 main:483] : INFO : # Backend Layers: 4 [2022-03-23 15:57:20 main:484] : INFO : # Threads: 1 [2022-03-23 15:57:20 main:486] : INFO : Preparing Dataset [2022-03-23 15:57:20 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from dataset.hdf5 into memory [2022-03-23 15:57:21 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from dataset.hdf5 into memory [2022-03-23 15:57:40 load:106] : INFO : Successfully loaded dataset of 2048 examples into memory. [2022-03-23 15:57:40 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from dataset.hdf5 into memory [2022-03-23 15:57:41 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from dataset.hdf5 into memory [2022-03-23 15:57:41 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2022-03-23 15:57:41 main:494] : INFO : Creating Model [2022-03-23 15:57:42 main:507] : INFO : Preparing config file [2022-03-23 15:57:42 main:511] : INFO : Found checkpoint, attempting to load... [2022-03-23 15:57:42 main:512] : INFO : Loading config [2022-03-23 15:57:42 main:514] : INFO : Loading state [2022-03-23 15:57:57 main:559] : INFO : Loading DataLoader into Memory [2022-03-23 15:57:57 main:562] : INFO : Starting Training [2022-03-23 15:58:09 main:574] : INFO : Epoch 1754 | loss: 0.0338102 | val_loss: 0.0316561 | Time: 11573.1 ms [2022-03-23 15:58:13 main:574] : INFO : Epoch 1755 | loss: 0.031481 | val_loss: 0.0313364 | Time: 4444.95 ms [2022-03-23 15:58:18 main:574] : INFO : Epoch 1756 | loss: 0.031296 | val_loss: 0.031247 | Time: 4341.32 ms [2022-03-23 15:58:23 main:574] : INFO : Epoch 1757 | loss: 0.0312427 | val_loss: 0.0312358 | Time: 4752.76 ms [2022-03-23 15:58:28 main:574] : INFO : Epoch 1758 | loss: 0.0312339 | val_loss: 0.0312316 | Time: 5364.62 ms [2022-03-23 15:58:35 main:574] : INFO : Epoch 1759 | loss: 0.0312268 | val_loss: 0.0312258 | Time: 5971.01 ms [2022-03-23 15:58:41 main:574] : INFO : Epoch 1760 | loss: 0.0312201 | val_loss: 0.0312182 | Time: 5828.08 ms [2022-03-23 15:58:47 main:574] : INFO : Epoch 1761 | loss: 0.0312113 | val_loss: 0.031211 | Time: 6013.49 ms [2022-03-23 15:58:53 main:574] : INFO : Epoch 1762 | loss: 0.0312026 | val_loss: 0.0312045 | Time: 5928.33 ms [2022-03-23 15:58:59 main:574] : INFO : Epoch 1763 | loss: 0.0311982 | val_loss: 0.0312018 | Time: 6018.2 ms Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: NVIDIA GeForce GTX 1060 6GB) [2022-03-23 19:04:40 main:435] : INFO : Set logging level to 1 [2022-03-23 19:04:40 main:441] : INFO : Running in BOINC Client mode [2022-03-23 19:04:40 main:444] : INFO : Resolving all filenames [2022-03-23 19:04:41 main:452] : INFO : Resolved: dataset.hdf5 => dataset.hdf5 (exists = 1) [2022-03-23 19:04:41 main:452] : INFO : Resolved: model.cfg => model.cfg (exists = 1) [2022-03-23 19:04:41 main:452] : INFO : Resolved: model-final.pt => model-final.pt (exists = 0) [2022-03-23 19:04:41 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 1) [2022-03-23 19:04:41 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 1) [2022-03-23 19:04:41 main:472] : INFO : Dataset filename: dataset.hdf5 [2022-03-23 19:04:41 main:474] : INFO : Configuration: [2022-03-23 19:04:41 main:475] : INFO : Model type: GRU [2022-03-23 19:04:41 main:476] : INFO : Validation Loss Threshold: 0.0001 [2022-03-23 19:04:41 main:477] : INFO : Max Epochs: 2048 [2022-03-23 19:04:41 main:478] : INFO : Batch Size: 128 [2022-03-23 19:04:41 main:479] : INFO : Learning Rate: 0.01 [2022-03-23 19:04:41 main:480] : INFO : Patience: 10 [2022-03-23 19:04:41 main:481] : INFO : Hidden Width: 12 [2022-03-23 19:04:41 main:482] : INFO : # Recurrent Layers: 4 [2022-03-23 19:04:42 main:483] : INFO : # Backend Layers: 4 [2022-03-23 19:04:42 main:484] : INFO : # Threads: 1 [2022-03-23 19:04:42 main:486] : INFO : Preparing Dataset [2022-03-23 19:04:42 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from dataset.hdf5 into memory [2022-03-23 19:04:42 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from dataset.hdf5 into memory [2022-03-23 19:05:13 load:106] : INFO : Successfully loaded dataset of 2048 examples into memory. [2022-03-23 19:05:14 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from dataset.hdf5 into memory [2022-03-23 19:05:14 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from dataset.hdf5 into memory [2022-03-23 19:05:15 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2022-03-23 19:05:15 main:494] : INFO : Creating Model [2022-03-23 19:05:15 main:507] : INFO : Preparing config file [2022-03-23 19:05:15 main:511] : INFO : Found checkpoint, attempting to load... [2022-03-23 19:05:15 main:512] : INFO : Loading config [2022-03-23 19:05:16 main:514] : INFO : Loading state [2022-03-23 19:05:39 main:559] : INFO : Loading DataLoader into Memory [2022-03-23 19:05:40 main:562] : INFO : Starting Training [2022-03-23 19:06:01 main:574] : INFO : Epoch 1754 | loss: 0.0337902 | val_loss: 0.031615 | Time: 20303.8 ms [2022-03-23 19:06:05 main:574] : INFO : Epoch 1755 | loss: 0.0314776 | val_loss: 0.0313303 | Time: 4290.18 ms [2022-03-23 19:06:09 main:574] : INFO : Epoch 1756 | loss: 0.0313018 | val_loss: 0.0312548 | Time: 4349.12 ms [2022-03-23 19:06:14 main:574] : INFO : Epoch 1757 | loss: 0.0312448 | val_loss: 0.0312393 | Time: 4340.74 ms [2022-03-23 19:06:18 main:574] : INFO : Epoch 1758 | loss: 0.0312333 | val_loss: 0.0312326 | Time: 4387.67 ms [2022-03-23 19:06:23 main:574] : INFO : Epoch 1759 | loss: 0.031226 | val_loss: 0.0312257 | Time: 4465.37 ms [2022-03-23 19:06:28 main:574] : INFO : Epoch 1760 | loss: 0.0312192 | val_loss: 0.031219 | Time: 4864.8 ms [2022-03-23 19:06:42 main:574] : INFO : Epoch 1761 | loss: 0.0312112 | val_loss: 0.031212 | Time: 14324.9 ms [2022-03-23 19:06:47 main:574] : INFO : Epoch 1762 | loss: 0.0312029 | val_loss: 0.0312034 | Time: 5076.79 ms [2022-03-23 19:06:52 main:574] : INFO : Epoch 1763 | loss: 0.0311938 | val_loss: 0.0311951 | Time: 4373.5 ms [2022-03-23 19:06:56 main:574] : INFO : Epoch 1764 | loss: 0.0311881 | val_loss: 0.0311927 | Time: 4339.22 ms [2022-03-23 19:07:01 main:574] : INFO : Epoch 1765 | loss: 0.0311861 | val_loss: 0.0311847 | Time: 4448.46 ms [2022-03-23 19:07:05 main:574] : INFO : Epoch 1766 | loss: 0.0311806 | val_loss: 0.0311793 | Time: 4262.3 ms [2022-03-23 19:07:10 main:574] : INFO : Epoch 1767 | loss: 0.031174 | val_loss: 0.0311751 | Time: 4325.91 ms [2022-03-23 19:07:14 main:574] : INFO : Epoch 1768 | loss: 0.0311685 | val_loss: 0.0311708 | Time: 4260.74 ms [2022-03-23 19:07:18 main:574] : INFO : Epoch 1769 | loss: 0.0311662 | val_loss: 0.0311693 | Time: 4379.64 ms [2022-03-23 19:07:23 main:574] : INFO : Epoch 1770 | loss: 0.0311654 | val_loss: 0.0311682 | Time: 4548.12 ms [2022-03-23 19:07:28 main:574] : INFO : Epoch 1771 | loss: 0.0311636 | val_loss: 0.031166 | Time: 4368.29 ms [2022-03-23 19:07:32 main:574] : INFO : Epoch 1772 | loss: 0.0311619 | val_loss: 0.0311657 | Time: 4382.01 ms [2022-03-23 19:07:37 main:574] : INFO : Epoch 1773 | loss: 0.0311607 | val_loss: 0.0311686 | Time: 4378.76 ms [2022-03-23 19:07:41 main:574] : INFO : Epoch 1774 | loss: 0.0311651 | val_loss: 0.0311698 | Time: 4370.02 ms [2022-03-23 19:07:46 main:574] : INFO : Epoch 1775 | loss: 0.0311663 | val_loss: 0.0311667 | Time: 4425.92 ms [2022-03-23 19:07:50 main:574] : INFO : Epoch 1776 | loss: 0.0311717 | val_loss: 0.0311701 | Time: 4355.42 ms [2022-03-23 19:07:55 main:574] : INFO : Epoch 1777 | loss: 0.0311714 | val_loss: 0.0311674 | Time: 4351.3 ms [2022-03-23 19:07:59 main:574] : INFO : Epoch 1778 | loss: 0.0311685 | val_loss: 0.0311699 | Time: 4396.52 ms [2022-03-23 19:08:04 main:574] : INFO : Epoch 1779 | loss: 0.0311671 | val_loss: 0.0311661 | Time: 4316.05 ms [2022-03-23 19:08:08 main:574] : INFO : Epoch 1780 | loss: 0.0311619 | val_loss: 0.0311696 | Time: 4372.07 ms [2022-03-23 19:08:12 main:574] : INFO : Epoch 1781 | loss: 0.0311601 | val_loss: 0.0311656 | Time: 4364.72 ms [2022-03-23 19:08:17 main:574] : INFO : Epoch 1782 | loss: 0.0311587 | val_loss: 0.0311621 | Time: 4346.67 ms [2022-03-23 19:08:21 main:574] : INFO : Epoch 1783 | loss: 0.0311567 | val_loss: 0.0311628 | Time: 4424.23 ms [2022-03-23 19:08:26 main:574] : INFO : Epoch 1784 | loss: 0.0311556 | val_loss: 0.0311644 | Time: 4396.02 ms [2022-03-23 19:08:30 main:574] : INFO : Epoch 1785 | loss: 0.0311566 | val_loss: 0.031162 | Time: 4377.37 ms [2022-03-23 19:08:35 main:574] : INFO : Epoch 1786 | loss: 0.0311596 | val_loss: 0.0311622 | Time: 4397.43 ms [2022-03-23 19:08:39 main:574] : INFO : Epoch 1787 | loss: 0.0311591 | val_loss: 0.031164 | Time: 4338.95 ms [2022-03-23 19:08:43 main:574] : INFO : Epoch 1788 | loss: 0.0311581 | val_loss: 0.0311644 | Time: 4326.91 ms [2022-03-23 19:08:48 main:574] : INFO : Epoch 1789 | loss: 0.0311564 | val_loss: 0.0311626 | Time: 4362.9 ms [2022-03-23 19:08:52 main:574] : INFO : Epoch 1790 | loss: 0.0311556 | val_loss: 0.0311611 | Time: 4330.15 ms [2022-03-23 19:08:57 main:574] : INFO : Epoch 1791 | loss: 0.0311554 | val_loss: 0.0311617 | Time: 4311.27 ms [2022-03-23 19:09:01 main:574] : INFO : Epoch 1792 | loss: 0.0311557 | val_loss: 0.0311604 | Time: 4508.16 ms [2022-03-23 19:09:06 main:574] : INFO : Epoch 1793 | loss: 0.0311563 | val_loss: 0.0311624 | Time: 4337.39 ms [2022-03-23 19:09:10 main:574] : INFO : Epoch 1794 | loss: 0.0311575 | val_loss: 0.0311669 | Time: 4353.41 ms [2022-03-23 19:09:14 main:574] : INFO : Epoch 1795 | loss: 0.0311535 | val_loss: 0.0311604 | Time: 4344.73 ms [2022-03-23 19:09:19 main:574] : INFO : Epoch 1796 | loss: 0.0311501 | val_loss: 0.0311592 | Time: 4403.27 ms [2022-03-23 19:09:23 main:574] : INFO : Epoch 1797 | loss: 0.0311505 | val_loss: 0.0311596 | Time: 4380.22 ms [2022-03-23 19:09:28 main:574] : INFO : Epoch 1798 | loss: 0.0311512 | val_loss: 0.0311593 | Time: 4419.97 ms [2022-03-23 19:09:32 main:574] : INFO : Epoch 1799 | loss: 0.0311502 | val_loss: 0.0311614 | Time: 4385.43 ms [2022-03-23 19:09:37 main:574] : INFO : Epoch 1800 | loss: 0.0311502 | val_loss: 0.0311596 | Time: 4386.68 ms [2022-03-23 19:09:41 main:574] : INFO : Epoch 1801 | loss: 0.0311505 | val_loss: 0.0311574 | Time: 4361.8 ms [2022-03-23 19:09:46 main:574] : INFO : Epoch 1802 | loss: 0.0311535 | val_loss: 0.0311564 | Time: 4367.39 ms [2022-03-23 19:09:50 main:574] : INFO : Epoch 1803 | loss: 0.0311501 | val_loss: 0.031155 | Time: 4379.96 ms [2022-03-23 19:09:54 main:574] : INFO : Epoch 1804 | loss: 0.0311476 | val_loss: 0.0311566 | Time: 4376.37 ms [2022-03-23 19:09:59 main:574] : INFO : Epoch 1805 | loss: 0.0311463 | val_loss: 0.0311546 | Time: 4328.68 ms [2022-03-23 19:10:03 main:574] : INFO : Epoch 1806 | loss: 0.0311456 | val_loss: 0.0311539 | Time: 4399.25 ms [2022-03-23 19:10:08 main:574] : INFO : Epoch 1807 | loss: 0.0311456 | val_loss: 0.0311547 | Time: 4374.38 ms [2022-03-23 19:10:12 main:574] : INFO : Epoch 1808 | loss: 0.0311453 | val_loss: 0.0311534 | Time: 4325.08 ms [2022-03-23 19:10:16 main:574] : INFO : Epoch 1809 | loss: 0.0311451 | val_loss: 0.0311545 | Time: 4359.01 ms [2022-03-23 19:10:21 main:574] : INFO : Epoch 1810 | loss: 0.0311453 | val_loss: 0.0311551 | Time: 4353.5 ms [2022-03-23 19:10:25 main:574] : INFO : Epoch 1811 | loss: 0.0311445 | val_loss: 0.0311576 | Time: 4333.43 ms [2022-03-23 19:10:30 main:574] : INFO : Epoch 1812 | loss: 0.0311486 | val_loss: 0.0311578 | Time: 4358.63 ms [2022-03-23 19:10:34 main:574] : INFO : Epoch 1813 | loss: 0.0311503 | val_loss: 0.0311567 | Time: 4439.77 ms [2022-03-23 19:10:39 main:574] : INFO : Epoch 1814 | loss: 0.0311547 | val_loss: 0.0311606 | Time: 4443.2 ms [2022-03-23 19:10:43 main:574] : INFO : Epoch 1815 | loss: 0.0311592 | val_loss: 0.0311577 | Time: 4401.36 ms [2022-03-23 19:10:48 main:574] : INFO : Epoch 1816 | loss: 0.0311487 | val_loss: 0.0311569 | Time: 4430.97 ms [2022-03-23 19:10:52 main:574] : INFO : Epoch 1817 | loss: 0.0311485 | val_loss: 0.0311548 | Time: 4410.38 ms [2022-03-23 19:10:57 main:574] : INFO : Epoch 1818 | loss: 0.0311465 | val_loss: 0.0311584 | Time: 4503.51 ms [2022-03-23 19:11:01 main:574] : INFO : Epoch 1819 | loss: 0.0311488 | val_loss: 0.0311622 | Time: 4464.2 ms [2022-03-23 19:11:06 main:574] : INFO : Epoch 1820 | loss: 0.0311482 | val_loss: 0.0311562 | Time: 4408.11 ms [2022-03-23 19:11:10 main:574] : INFO : Epoch 1821 | loss: 0.0311509 | val_loss: 0.0311574 | Time: 4367.33 ms [2022-03-23 19:11:15 main:574] : INFO : Epoch 1822 | loss: 0.0311489 | val_loss: 0.0311599 | Time: 4328.01 ms [2022-03-23 19:11:19 main:574] : INFO : Epoch 1823 | loss: 0.031147 | val_loss: 0.0311565 | Time: 4362.18 ms [2022-03-23 19:11:24 main:574] : INFO : Epoch 1824 | loss: 0.0311468 | val_loss: 0.0311564 | Time: 4326.89 ms [2022-03-23 19:11:28 main:574] : INFO : Epoch 1825 | loss: 0.0311462 | val_loss: 0.0311608 | Time: 4354.67 ms [2022-03-23 19:11:33 main:574] : INFO : Epoch 1826 | loss: 0.031147 | val_loss: 0.0311669 | Time: 4337.01 ms [2022-03-23 19:11:37 main:574] : INFO : Epoch 1827 | loss: 0.0311489 | val_loss: 0.0311639 | Time: 4427.42 ms [2022-03-23 19:11:41 main:574] : INFO : Epoch 1828 | loss: 0.031146 | val_loss: 0.031162 | Time: 4331.83 ms [2022-03-23 19:11:46 main:574] : INFO : Epoch 1829 | loss: 0.0311452 | val_loss: 0.03116 | Time: 4311.65 ms [2022-03-23 19:11:50 main:574] : INFO : Epoch 1830 | loss: 0.0311452 | val_loss: 0.0311623 | Time: 4396.95 ms [2022-03-23 19:11:55 main:574] : INFO : Epoch 1831 | loss: 0.0311429 | val_loss: 0.0311592 | Time: 4333.47 ms [2022-03-23 19:11:59 main:574] : INFO : Epoch 1832 | loss: 0.0311428 | val_loss: 0.0311579 | Time: 4357.47 ms [2022-03-23 19:12:04 main:574] : INFO : Epoch 1833 | loss: 0.0311446 | val_loss: 0.0311588 | Time: 4429.1 ms [2022-03-23 19:12:08 main:574] : INFO : Epoch 1834 | loss: 0.0311441 | val_loss: 0.0311569 | Time: 4399.05 ms [2022-03-23 19:12:12 main:574] : INFO : Epoch 1835 | loss: 0.0311454 | val_loss: 0.0311627 | Time: 4384.85 ms [2022-03-23 19:12:17 main:574] : INFO : Epoch 1836 | loss: 0.0311464 | val_loss: 0.0311556 | Time: 4403.55 ms [2022-03-23 19:12:21 main:574] : INFO : Epoch 1837 | loss: 0.0311439 | val_loss: 0.0311537 | Time: 4391.6 ms [2022-03-23 19:12:26 main:574] : INFO : Epoch 1838 | loss: 0.0311449 | val_loss: 0.0311561 | Time: 4432.44 ms [2022-03-23 19:12:31 main:574] : INFO : Epoch 1839 | loss: 0.0311456 | val_loss: 0.031155 | Time: 4391.95 ms [2022-03-23 19:12:35 main:574] : INFO : Epoch 1840 | loss: 0.0311443 | val_loss: 0.031156 | Time: 4472.05 ms [2022-03-23 19:12:40 main:574] : INFO : Epoch 1841 | loss: 0.0311421 | val_loss: 0.0311608 | Time: 4510.98 ms [2022-03-23 19:12:44 main:574] : INFO : Epoch 1842 | loss: 0.0311468 | val_loss: 0.0311569 | Time: 4391.34 ms [2022-03-23 19:12:49 main:574] : INFO : Epoch 1843 | loss: 0.0311436 | val_loss: 0.0311558 | Time: 4362.97 ms [2022-03-23 19:12:53 main:574] : INFO : Epoch 1844 | loss: 0.0311439 | val_loss: 0.031155 | Time: 4370.28 ms [2022-03-23 19:12:58 main:574] : INFO : Epoch 1845 | loss: 0.031143 | val_loss: 0.0311571 | Time: 4400.16 ms [2022-03-23 19:13:02 main:574] : INFO : Epoch 1846 | loss: 0.0311426 | val_loss: 0.031157 | Time: 4477.21 ms [2022-03-23 19:13:07 main:574] : INFO : Epoch 1847 | loss: 0.0311405 | val_loss: 0.0311567 | Time: 4458.34 ms [2022-03-23 19:13:11 main:574] : INFO : Epoch 1848 | loss: 0.0311426 | val_loss: 0.031156 | Time: 4405.15 ms [2022-03-23 19:13:16 main:574] : INFO : Epoch 1849 | loss: 0.0311422 | val_loss: 0.031155 | Time: 4404.24 ms [2022-03-23 19:13:21 main:574] : INFO : Epoch 1850 | loss: 0.0311422 | val_loss: 0.0311526 | Time: 4592.89 ms [2022-03-23 19:13:25 main:574] : INFO : Epoch 1851 | loss: 0.0311417 | val_loss: 0.0311548 | Time: 4357.62 ms [2022-03-23 19:13:29 main:574] : INFO : Epoch 1852 | loss: 0.0311426 | val_loss: 0.0311531 | Time: 4360.48 ms [2022-03-23 19:13:34 main:574] : INFO : Epoch 1853 | loss: 0.0311423 | val_loss: 0.031154 | Time: 4339.82 ms [2022-03-23 19:13:38 main:574] : INFO : Epoch 1854 | loss: 0.0311399 | val_loss: 0.0311544 | Time: 4408 ms [2022-03-23 19:13:43 main:574] : INFO : Epoch 1855 | loss: 0.0311415 | val_loss: 0.0311541 | Time: 4384.06 ms [2022-03-23 19:13:47 main:574] : INFO : Epoch 1856 | loss: 0.0311409 | val_loss: 0.0311537 | Time: 4412.26 ms [2022-03-23 19:13:52 main:574] : INFO : Epoch 1857 | loss: 0.0311412 | val_loss: 0.0311532 | Time: 4350.46 ms [2022-03-23 19:13:56 main:574] : INFO : Epoch 1858 | loss: 0.031141 | val_loss: 0.0311525 | Time: 4390.06 ms [2022-03-23 19:14:01 main:574] : INFO : Epoch 1859 | loss: 0.0311399 | val_loss: 0.031153 | Time: 4422.91 ms [2022-03-23 19:14:05 main:574] : INFO : Epoch 1860 | loss: 0.0311397 | val_loss: 0.0311535 | Time: 4392.26 ms [2022-03-23 19:14:10 main:574] : INFO : Epoch 1861 | loss: 0.031139 | val_loss: 0.031159 | Time: 4355.8 ms [2022-03-23 19:14:14 main:574] : INFO : Epoch 1862 | loss: 0.0311389 | val_loss: 0.0311551 | Time: 4361.77 ms [2022-03-23 19:14:18 main:574] : INFO : Epoch 1863 | loss: 0.0311398 | val_loss: 0.0311587 | Time: 4403.81 ms [2022-03-23 19:14:23 main:574] : INFO : Epoch 1864 | loss: 0.0311434 | val_loss: 0.0311624 | Time: 4405.04 ms [2022-03-23 19:14:27 main:574] : INFO : Epoch 1865 | loss: 0.0311444 | val_loss: 0.0311606 | Time: 4361.92 ms [2022-03-23 19:14:32 main:574] : INFO : Epoch 1866 | loss: 0.0311445 | val_loss: 0.0311566 | Time: 4389.2 ms [2022-03-23 19:14:36 main:574] : INFO : Epoch 1867 | loss: 0.0311398 | val_loss: 0.0311565 | Time: 4342.31 ms [2022-03-23 19:14:41 main:574] : INFO : Epoch 1868 | loss: 0.031142 | val_loss: 0.0311581 | Time: 4389.11 ms [2022-03-23 19:14:45 main:574] : INFO : Epoch 1869 | loss: 0.031145 | val_loss: 0.0311543 | Time: 4357.87 ms [2022-03-23 19:14:49 main:574] : INFO : Epoch 1870 | loss: 0.0311409 | val_loss: 0.0311541 | Time: 4315.36 ms [2022-03-23 19:14:54 main:574] : INFO : Epoch 1871 | loss: 0.0311383 | val_loss: 0.0311531 | Time: 4331.22 ms [2022-03-23 19:14:58 main:574] : INFO : Epoch 1872 | loss: 0.0311381 | val_loss: 0.0311547 | Time: 4320.9 ms [2022-03-23 19:15:03 main:574] : INFO : Epoch 1873 | loss: 0.031137 | val_loss: 0.0311589 | Time: 4373.38 ms [2022-03-23 19:15:07 main:574] : INFO : Epoch 1874 | loss: 0.0311415 | val_loss: 0.0311601 | Time: 4360.29 ms [2022-03-23 19:15:12 main:574] : INFO : Epoch 1875 | loss: 0.0311432 | val_loss: 0.0311652 | Time: 4388.92 ms [2022-03-23 19:15:16 main:574] : INFO : Epoch 1876 | loss: 0.031144 | val_loss: 0.0311569 | Time: 4397.44 ms [2022-03-23 19:15:20 main:574] : INFO : Epoch 1877 | loss: 0.0311403 | val_loss: 0.0311543 | Time: 4368.66 ms [2022-03-23 19:15:25 main:574] : INFO : Epoch 1878 | loss: 0.0311375 | val_loss: 0.0311564 | Time: 4432.2 ms [2022-03-23 19:15:30 main:574] : INFO : Epoch 1879 | loss: 0.031138 | val_loss: 0.0311554 | Time: 4474.61 ms [2022-03-23 19:15:35 main:574] : INFO : Epoch 1880 | loss: 0.0311386 | val_loss: 0.0311566 | Time: 4567.13 ms [2022-03-23 19:15:39 main:574] : INFO : Epoch 1881 | loss: 0.0311379 | val_loss: 0.0311577 | Time: 4460.66 ms [2022-03-23 19:15:44 main:574] : INFO : Epoch 1882 | loss: 0.031141 | val_loss: 0.0311573 | Time: 4416.4 ms [2022-03-23 19:15:48 main:574] : INFO : Epoch 1883 | loss: 0.0311434 | val_loss: 0.0311591 | Time: 4406.12 ms [2022-03-23 19:15:53 main:574] : INFO : Epoch 1884 | loss: 0.0311506 | val_loss: 0.0311596 | Time: 4383 ms [2022-03-23 19:15:57 main:574] : INFO : Epoch 1885 | loss: 0.0311517 | val_loss: 0.0311578 | Time: 4378.07 ms [2022-03-23 19:16:02 main:574] : INFO : Epoch 1886 | loss: 0.0311492 | val_loss: 0.031157 | Time: 4483.63 ms [2022-03-23 19:16:06 main:574] : INFO : Epoch 1887 | loss: 0.0311477 | val_loss: 0.0311564 | Time: 4369.7 ms [2022-03-23 19:16:11 main:574] : INFO : Epoch 1888 | loss: 0.0311457 | val_loss: 0.0311585 | Time: 4373.79 ms [2022-03-23 19:16:15 main:574] : INFO : Epoch 1889 | loss: 0.0311471 | val_loss: 0.0311636 | Time: 4329.87 ms [2022-03-23 19:16:19 main:574] : INFO : Epoch 1890 | loss: 0.0311468 | val_loss: 0.0311642 | Time: 4384.39 ms [2022-03-23 19:16:24 main:574] : INFO : Epoch 1891 | loss: 0.031144 | val_loss: 0.0311641 | Time: 4355.48 ms [2022-03-23 19:16:28 main:574] : INFO : Epoch 1892 | loss: 0.0311415 | val_loss: 0.0311604 | Time: 4322.92 ms [2022-03-23 19:16:33 main:574] : INFO : Epoch 1893 | loss: 0.0311394 | val_loss: 0.0311584 | Time: 4350.43 ms [2022-03-23 19:16:37 main:574] : INFO : Epoch 1894 | loss: 0.0311406 | val_loss: 0.0311595 | Time: 4344.45 ms [2022-03-23 19:16:42 main:574] : INFO : Epoch 1895 | loss: 0.0311405 | val_loss: 0.0311628 | Time: 4376.72 ms [2022-03-23 19:16:46 main:574] : INFO : Epoch 1896 | loss: 0.0311417 | val_loss: 0.0311577 | Time: 4362.02 ms [2022-03-23 19:16:51 main:574] : INFO : Epoch 1897 | loss: 0.0311417 | val_loss: 0.0311584 | Time: 4427.8 ms [2022-03-23 19:16:55 main:574] : INFO : Epoch 1898 | loss: 0.0311429 | val_loss: 0.0311589 | Time: 4368.63 ms [2022-03-23 19:16:59 main:574] : INFO : Epoch 1899 | loss: 0.0311445 | val_loss: 0.0311608 | Time: 4365.18 ms [2022-03-23 19:17:04 main:574] : INFO : Epoch 1900 | loss: 0.0311424 | val_loss: 0.0311564 | Time: 4361.5 ms [2022-03-23 19:17:08 main:574] : INFO : Epoch 1901 | loss: 0.0311426 | val_loss: 0.0311556 | Time: 4413.66 ms [2022-03-23 19:17:13 main:574] : INFO : Epoch 1902 | loss: 0.0311406 | val_loss: 0.031158 | Time: 4415.98 ms [2022-03-23 19:17:17 main:574] : INFO : Epoch 1903 | loss: 0.0311388 | val_loss: 0.0311554 | Time: 4344.75 ms [2022-03-23 19:17:22 main:574] : INFO : Epoch 1904 | loss: 0.0311381 | val_loss: 0.0311562 | Time: 4317.84 ms [2022-03-23 19:17:26 main:574] : INFO : Epoch 1905 | loss: 0.0311369 | val_loss: 0.0311557 | Time: 4340.2 ms [2022-03-23 19:17:31 main:574] : INFO : Epoch 1906 | loss: 0.0311392 | val_loss: 0.0311584 | Time: 4325.51 ms [2022-03-23 19:17:35 main:574] : INFO : Epoch 1907 | loss: 0.0311373 | val_loss: 0.0311577 | Time: 4346.35 ms [2022-03-23 19:17:39 main:574] : INFO : Epoch 1908 | loss: 0.0311386 | val_loss: 0.0311565 | Time: 4338.98 ms [2022-03-23 19:17:44 main:574] : INFO : Epoch 1909 | loss: 0.031138 | val_loss: 0.0311604 | Time: 4322.83 ms [2022-03-23 19:17:48 main:574] : INFO : Epoch 1910 | loss: 0.0311396 | val_loss: 0.0311599 | Time: 4364.23 ms [2022-03-23 19:17:53 main:574] : INFO : Epoch 1911 | loss: 0.0311382 | val_loss: 0.0311549 | Time: 4316.71 ms [2022-03-23 19:17:57 main:574] : INFO : Epoch 1912 | loss: 0.0311358 | val_loss: 0.0311529 | Time: 4420.06 ms [2022-03-23 19:18:02 main:574] : INFO : Epoch 1913 | loss: 0.0311394 | val_loss: 0.0311547 | Time: 4367.37 ms [2022-03-23 19:18:06 main:574] : INFO : Epoch 1914 | loss: 0.031139 | val_loss: 0.0311537 | Time: 4388.64 ms [2022-03-23 19:18:10 main:574] : INFO : Epoch 1915 | loss: 0.0311381 | val_loss: 0.0311576 | Time: 4392.91 ms [2022-03-23 19:18:15 main:574] : INFO : Epoch 1916 | loss: 0.0311372 | val_loss: 0.0311616 | Time: 4327.8 ms [2022-03-23 19:18:19 main:574] : INFO : Epoch 1917 | loss: 0.0311371 | val_loss: 0.031152 | Time: 4417.13 ms [2022-03-23 19:18:24 main:574] : INFO : Epoch 1918 | loss: 0.0311343 | val_loss: 0.0311531 | Time: 4321.93 ms [2022-03-23 19:18:28 main:574] : INFO : Epoch 1919 | loss: 0.0311349 | val_loss: 0.0311539 | Time: 4326.09 ms [2022-03-23 19:18:32 main:574] : INFO : Epoch 1920 | loss: 0.0311365 | val_loss: 0.0311554 | Time: 4345.02 ms [2022-03-23 19:18:37 main:574] : INFO : Epoch 1921 | loss: 0.0311348 | val_loss: 0.0311577 | Time: 4352.69 ms [2022-03-23 19:18:41 main:574] : INFO : Epoch 1922 | loss: 0.0311344 | val_loss: 0.0311623 | Time: 4350.64 ms [2022-03-23 19:18:46 main:574] : INFO : Epoch 1923 | loss: 0.0311348 | val_loss: 0.031161 | Time: 4422.33 ms [2022-03-23 19:18:50 main:574] : INFO : Epoch 1924 | loss: 0.0311365 | val_loss: 0.0311556 | Time: 4344.35 ms [2022-03-23 19:18:55 main:574] : INFO : Epoch 1925 | loss: 0.0311344 | val_loss: 0.0311551 | Time: 4395.95 ms [2022-03-23 19:18:59 main:574] : INFO : Epoch 1926 | loss: 0.0311375 | val_loss: 0.0311577 | Time: 4344.46 ms [2022-03-23 19:19:04 main:574] : INFO : Epoch 1927 | loss: 0.0311378 | val_loss: 0.0311575 | Time: 4463.31 ms [2022-03-23 19:19:08 main:574] : INFO : Epoch 1928 | loss: 0.031137 | val_loss: 0.0311524 | Time: 4348.9 ms [2022-03-23 19:19:12 main:574] : INFO : Epoch 1929 | loss: 0.0311376 | val_loss: 0.0311559 | Time: 4300.45 ms [2022-03-23 19:19:17 main:574] : INFO : Epoch 1930 | loss: 0.0311351 | val_loss: 0.0311548 | Time: 4435.23 ms [2022-03-23 19:19:22 main:574] : INFO : Epoch 1931 | loss: 0.0311385 | val_loss: 0.0311562 | Time: 4417.52 ms [2022-03-23 19:19:26 main:574] : INFO : Epoch 1932 | loss: 0.0311371 | val_loss: 0.0311528 | Time: 4317.54 ms [2022-03-23 19:19:30 main:574] : INFO : Epoch 1933 | loss: 0.0311352 | val_loss: 0.0311531 | Time: 4352.28 ms [2022-03-23 19:19:35 main:574] : INFO : Epoch 1934 | loss: 0.0311373 | val_loss: 0.0311543 | Time: 4395.95 ms [2022-03-23 19:19:39 main:574] : INFO : Epoch 1935 | loss: 0.0311352 | val_loss: 0.031158 | Time: 4409.21 ms [2022-03-23 19:19:44 main:574] : INFO : Epoch 1936 | loss: 0.0311365 | val_loss: 0.0311536 | Time: 4386.38 ms [2022-03-23 19:19:48 main:574] : INFO : Epoch 1937 | loss: 0.0311338 | val_loss: 0.0311564 | Time: 4352.35 ms [2022-03-23 19:19:53 main:574] : INFO : Epoch 1938 | loss: 0.031132 | val_loss: 0.0311556 | Time: 4382.57 ms [2022-03-23 19:19:57 main:574] : INFO : Epoch 1939 | loss: 0.0311328 | val_loss: 0.0311512 | Time: 4365.14 ms [2022-03-23 19:20:02 main:574] : INFO : Epoch 1940 | loss: 0.0311373 | val_loss: 0.0311534 | Time: 4398.46 ms [2022-03-23 19:20:06 main:574] : INFO : Epoch 1941 | loss: 0.0311382 | val_loss: 0.0311524 | Time: 4369.06 ms [2022-03-23 19:20:10 main:574] : INFO : Epoch 1942 | loss: 0.0311361 | val_loss: 0.0311491 | Time: 4402.48 ms [2022-03-23 19:20:15 main:574] : INFO : Epoch 1943 | loss: 0.0311433 | val_loss: 0.031153 | Time: 4374.81 ms [2022-03-23 19:20:19 main:574] : INFO : Epoch 1944 | loss: 0.0311471 | val_loss: 0.0311529 | Time: 4341.38 ms [2022-03-23 19:20:24 main:574] : INFO : Epoch 1945 | loss: 0.0311455 | val_loss: 0.03115 | Time: 4336.28 ms [2022-03-23 19:20:28 main:574] : INFO : Epoch 1946 | loss: 0.0311454 | val_loss: 0.0311561 | Time: 4301.74 ms [2022-03-23 19:20:33 main:574] : INFO : Epoch 1947 | loss: 0.0311432 | val_loss: 0.0311493 | Time: 4405.38 ms [2022-03-23 19:20:37 main:574] : INFO : Epoch 1948 | loss: 0.03114 | val_loss: 0.0311509 | Time: 4509.15 ms [2022-03-23 19:20:42 main:574] : INFO : Epoch 1949 | loss: 0.0311419 | val_loss: 0.0311512 | Time: 4436.03 ms [2022-03-23 19:20:46 main:574] : INFO : Epoch 1950 | loss: 0.03114 | val_loss: 0.0311528 | Time: 4419.99 ms [2022-03-23 19:20:51 main:574] : INFO : Epoch 1951 | loss: 0.0311414 | val_loss: 0.031149 | Time: 4380.72 ms [2022-03-23 19:20:55 main:574] : INFO : Epoch 1952 | loss: 0.0311417 | val_loss: 0.0311534 | Time: 4390.09 ms [2022-03-23 19:21:00 main:574] : INFO : Epoch 1953 | loss: 0.03114 | val_loss: 0.0311509 | Time: 4492.8 ms [2022-03-23 19:21:04 main:574] : INFO : Epoch 1954 | loss: 0.031138 | val_loss: 0.0311518 | Time: 4430.54 ms [2022-03-23 19:21:09 main:574] : INFO : Epoch 1955 | loss: 0.031139 | val_loss: 0.0311493 | Time: 4378.79 ms [2022-03-23 19:21:13 main:574] : INFO : Epoch 1956 | loss: 0.031137 | val_loss: 0.0311458 | Time: 4365.9 ms [2022-03-23 19:21:18 main:574] : INFO : Epoch 1957 | loss: 0.0311354 | val_loss: 0.0311483 | Time: 4342.98 ms [2022-03-23 19:21:22 main:574] : INFO : Epoch 1958 | loss: 0.0311358 | val_loss: 0.0311484 | Time: 4326.59 ms [2022-03-23 19:21:27 main:574] : INFO : Epoch 1959 | loss: 0.0311362 | val_loss: 0.0311512 | Time: 4335.51 ms [2022-03-23 19:21:31 main:574] : INFO : Epoch 1960 | loss: 0.0311388 | val_loss: 0.0311578 | Time: 4327.73 ms [2022-03-23 19:21:35 main:574] : INFO : Epoch 1961 | loss: 0.0311372 | val_loss: 0.0311526 | Time: 4301.36 ms [2022-03-23 19:21:40 main:574] : INFO : Epoch 1962 | loss: 0.0311363 | val_loss: 0.0311468 | Time: 4336.45 ms [2022-03-23 19:21:44 main:574] : INFO : Epoch 1963 | loss: 0.0311342 | val_loss: 0.0311572 | Time: 4306.62 ms [2022-03-23 19:21:48 main:574] : INFO : Epoch 1964 | loss: 0.0311328 | val_loss: 0.031151 | Time: 4363.18 ms [2022-03-23 19:21:53 main:574] : INFO : Epoch 1965 | loss: 0.0311318 | val_loss: 0.0311508 | Time: 4305.28 ms [2022-03-23 19:21:57 main:574] : INFO : Epoch 1966 | loss: 0.0311313 | val_loss: 0.031151 | Time: 4355.21 ms [2022-03-23 19:22:02 main:574] : INFO : Epoch 1967 | loss: 0.0311329 | val_loss: 0.0311474 | Time: 4393.41 ms [2022-03-23 19:22:06 main:574] : INFO : Epoch 1968 | loss: 0.0311336 | val_loss: 0.0311498 | Time: 4408.1 ms [2022-03-23 19:22:11 main:574] : INFO : Epoch 1969 | loss: 0.0311337 | val_loss: 0.0311584 | Time: 4438.18 ms [2022-03-23 19:22:15 main:574] : INFO : Epoch 1970 | loss: 0.0311368 | val_loss: 0.0311505 | Time: 4413.29 ms [2022-03-23 19:22:20 main:574] : INFO : Epoch 1971 | loss: 0.0311339 | val_loss: 0.031151 | Time: 4346.25 ms [2022-03-23 19:22:24 main:574] : INFO : Epoch 1972 | loss: 0.0311322 | val_loss: 0.0311558 | Time: 4402.5 ms [2022-03-23 19:22:29 main:574] : INFO : Epoch 1973 | loss: 0.0311348 | val_loss: 0.0311542 | Time: 4399.2 ms [2022-03-23 19:22:33 main:574] : INFO : Epoch 1974 | loss: 0.0311352 | val_loss: 0.0311507 | Time: 4423.21 ms [2022-03-23 19:22:38 main:574] : INFO : Epoch 1975 | loss: 0.0311338 | val_loss: 0.0311495 | Time: 4549.92 ms [2022-03-23 19:22:42 main:574] : INFO : Epoch 1976 | loss: 0.0311331 | val_loss: 0.031155 | Time: 4391.07 ms [2022-03-23 19:22:47 main:574] : INFO : Epoch 1977 | loss: 0.0311365 | val_loss: 0.0311508 | Time: 4390 ms [2022-03-23 19:22:51 main:574] : INFO : Epoch 1978 | loss: 0.0311369 | val_loss: 0.0311522 | Time: 4404.39 ms [2022-03-23 19:22:56 main:574] : INFO : Epoch 1979 | loss: 0.031134 | val_loss: 0.03115 | Time: 4557.03 ms [2022-03-23 19:23:01 main:574] : INFO : Epoch 1980 | loss: 0.0311348 | val_loss: 0.0311528 | Time: 4485.7 ms [2022-03-23 19:23:06 main:574] : INFO : Epoch 1981 | loss: 0.031134 | val_loss: 0.0311505 | Time: 5297.06 ms [2022-03-23 19:23:11 main:574] : INFO : Epoch 1982 | loss: 0.0311378 | val_loss: 0.0311519 | Time: 4478.85 ms [2022-03-23 19:23:15 main:574] : INFO : Epoch 1983 | loss: 0.0311439 | val_loss: 0.0311539 | Time: 4433.16 ms [2022-03-23 19:23:20 main:574] : INFO : Epoch 1984 | loss: 0.0311349 | val_loss: 0.0311491 | Time: 4507.9 ms [2022-03-23 19:23:24 main:574] : INFO : Epoch 1985 | loss: 0.031134 | val_loss: 0.031149 | Time: 4409.55 ms [2022-03-23 19:23:29 main:574] : INFO : Epoch 1986 | loss: 0.0311342 | val_loss: 0.0311527 | Time: 4390.87 ms [2022-03-23 19:23:33 main:574] : INFO : Epoch 1987 | loss: 0.0311344 | val_loss: 0.0311555 | Time: 4405.54 ms [2022-03-23 19:23:38 main:574] : INFO : Epoch 1988 | loss: 0.0311358 | val_loss: 0.0311505 | Time: 4437.45 ms [2022-03-23 19:23:42 main:574] : INFO : Epoch 1989 | loss: 0.0311369 | val_loss: 0.0311557 | Time: 4357.49 ms [2022-03-23 19:23:46 main:574] : INFO : Epoch 1990 | loss: 0.0311329 | val_loss: 0.0311528 | Time: 4437.45 ms [2022-03-23 19:23:51 main:574] : INFO : Epoch 1991 | loss: 0.0311306 | val_loss: 0.0311509 | Time: 4412.42 ms [2022-03-23 19:23:55 main:574] : INFO : Epoch 1992 | loss: 0.0311291 | val_loss: 0.0311507 | Time: 4439.94 ms [2022-03-23 19:24:00 main:574] : INFO : Epoch 1993 | loss: 0.0311293 | val_loss: 0.0311533 | Time: 4473.64 ms [2022-03-23 19:24:04 main:574] : INFO : Epoch 1994 | loss: 0.0311284 | val_loss: 0.0311485 | Time: 4398.2 ms [2022-03-23 19:24:09 main:574] : INFO : Epoch 1995 | loss: 0.0311283 | val_loss: 0.0311549 | Time: 4451.24 ms [2022-03-23 19:24:13 main:574] : INFO : Epoch 1996 | loss: 0.0311294 | val_loss: 0.0311517 | Time: 4416.55 ms [2022-03-23 19:24:18 main:574] : INFO : Epoch 1997 | loss: 0.0311285 | val_loss: 0.0311566 | Time: 4442.06 ms [2022-03-23 19:24:22 main:574] : INFO : Epoch 1998 | loss: 0.0311288 | val_loss: 0.0311516 | Time: 4398.52 ms [2022-03-23 19:24:27 main:574] : INFO : Epoch 1999 | loss: 0.0311283 | val_loss: 0.0311526 | Time: 4373.03 ms [2022-03-23 19:24:31 main:574] : INFO : Epoch 2000 | loss: 0.0311294 | val_loss: 0.0311529 | Time: 4400.19 ms [2022-03-23 19:24:36 main:574] : INFO : Epoch 2001 | loss: 0.0311305 | val_loss: 0.0311522 | Time: 4390.54 ms [2022-03-23 19:24:40 main:574] : INFO : Epoch 2002 | loss: 0.0311378 | val_loss: 0.0311615 | Time: 4389.81 ms [2022-03-23 19:24:45 main:574] : INFO : Epoch 2003 | loss: 0.0311328 | val_loss: 0.0311608 | Time: 4430.15 ms [2022-03-23 19:24:49 main:574] : INFO : Epoch 2004 | loss: 0.0311289 | val_loss: 0.0311529 | Time: 4382.09 ms [2022-03-23 19:24:54 main:574] : INFO : Epoch 2005 | loss: 0.0311289 | val_loss: 0.0311574 | Time: 4434.98 ms [2022-03-23 19:24:58 main:574] : INFO : Epoch 2006 | loss: 0.0311325 | val_loss: 0.0311694 | Time: 4378.55 ms [2022-03-23 19:25:02 main:574] : INFO : Epoch 2007 | loss: 0.0311327 | val_loss: 0.0311553 | Time: 4317.11 ms [2022-03-23 19:25:07 main:574] : INFO : Epoch 2008 | loss: 0.0311349 | val_loss: 0.0311526 | Time: 4348.73 ms [2022-03-23 19:25:11 main:574] : INFO : Epoch 2009 | loss: 0.031134 | val_loss: 0.0311552 | Time: 4364.51 ms [2022-03-23 19:25:16 main:574] : INFO : Epoch 2010 | loss: 0.031131 | val_loss: 0.0311521 | Time: 4397.9 ms [2022-03-23 19:25:20 main:574] : INFO : Epoch 2011 | loss: 0.03113 | val_loss: 0.0311576 | Time: 4398.86 ms [2022-03-23 19:25:25 main:574] : INFO : Epoch 2012 | loss: 0.0311328 | val_loss: 0.0311521 | Time: 4411.32 ms [2022-03-23 19:25:29 main:574] : INFO : Epoch 2013 | loss: 0.0311306 | val_loss: 0.0311533 | Time: 4404.63 ms [2022-03-23 19:25:34 main:574] : INFO : Epoch 2014 | loss: 0.0311337 | val_loss: 0.0311506 | Time: 4379.38 ms [2022-03-23 19:25:38 main:574] : INFO : Epoch 2015 | loss: 0.0311339 | val_loss: 0.0311519 | Time: 4392.46 ms [2022-03-23 19:25:43 main:574] : INFO : Epoch 2016 | loss: 0.0311417 | val_loss: 0.0311522 | Time: 4414.89 ms [2022-03-23 19:25:47 main:574] : INFO : Epoch 2017 | loss: 0.03114 | val_loss: 0.0311515 | Time: 4354.26 ms [2022-03-23 19:25:52 main:574] : INFO : Epoch 2018 | loss: 0.0311378 | val_loss: 0.0311504 | Time: 4387.07 ms [2022-03-23 19:25:56 main:574] : INFO : Epoch 2019 | loss: 0.0311347 | val_loss: 0.031151 | Time: 4404.43 ms [2022-03-23 19:26:01 main:574] : INFO : Epoch 2020 | loss: 0.0311336 | val_loss: 0.0311515 | Time: 4418.18 ms [2022-03-23 19:26:05 main:574] : INFO : Epoch 2021 | loss: 0.0311324 | val_loss: 0.0311477 | Time: 4374.29 ms [2022-03-23 19:26:09 main:574] : INFO : Epoch 2022 | loss: 0.0311316 | val_loss: 0.0311515 | Time: 4406.74 ms [2022-03-23 19:26:14 main:574] : INFO : Epoch 2023 | loss: 0.0311327 | val_loss: 0.0311512 | Time: 4420.39 ms [2022-03-23 19:26:18 main:574] : INFO : Epoch 2024 | loss: 0.0311394 | val_loss: 0.0311557 | Time: 4337.57 ms [2022-03-23 19:26:23 main:574] : INFO : Epoch 2025 | loss: 0.0311401 | val_loss: 0.0311558 | Time: 4402.14 ms [2022-03-23 19:26:27 main:574] : INFO : Epoch 2026 | loss: 0.0311379 | val_loss: 0.0311492 | Time: 4350.03 ms [2022-03-23 19:26:32 main:574] : INFO : Epoch 2027 | loss: 0.0311373 | val_loss: 0.0311502 | Time: 4390.01 ms [2022-03-23 19:26:36 main:574] : INFO : Epoch 2028 | loss: 0.0311363 | val_loss: 0.0311474 | Time: 4334.42 ms [2022-03-23 19:26:41 main:574] : INFO : Epoch 2029 | loss: 0.0311345 | val_loss: 0.0311499 | Time: 4513.67 ms [2022-03-23 19:26:46 main:574] : INFO : Epoch 2030 | loss: 0.0311327 | val_loss: 0.03115 | Time: 4898.11 ms [2022-03-23 19:26:51 main:574] : INFO : Epoch 2031 | loss: 0.0311308 | val_loss: 0.0311509 | Time: 4380.2 ms [2022-03-23 19:26:55 main:574] : INFO : Epoch 2032 | loss: 0.0311329 | val_loss: 0.0311522 | Time: 4265.04 ms [2022-03-23 19:26:59 main:574] : INFO : Epoch 2033 | loss: 0.031133 | val_loss: 0.0311604 | Time: 4212.89 ms [2022-03-23 19:27:04 main:574] : INFO : Epoch 2034 | loss: 0.0311314 | val_loss: 0.0311519 | Time: 4185.2 ms [2022-03-23 19:27:08 main:574] : INFO : Epoch 2035 | loss: 0.0311332 | val_loss: 0.0311572 | Time: 4124.2 ms [2022-03-23 19:27:12 main:574] : INFO : Epoch 2036 | loss: 0.0311318 | val_loss: 0.0311525 | Time: 4155.95 ms [2022-03-23 19:27:16 main:574] : INFO : Epoch 2037 | loss: 0.0311304 | val_loss: 0.0311564 | Time: 4122.67 ms [2022-03-23 19:27:21 main:574] : INFO : Epoch 2038 | loss: 0.0311302 | val_loss: 0.0311532 | Time: 4151.98 ms [2022-03-23 19:27:25 main:574] : INFO : Epoch 2039 | loss: 0.0311295 | val_loss: 0.031152 | Time: 4187.07 ms [2022-03-23 19:27:29 main:574] : INFO : Epoch 2040 | loss: 0.0311281 | val_loss: 0.0311511 | Time: 4105.42 ms [2022-03-23 19:27:33 main:574] : INFO : Epoch 2041 | loss: 0.0311316 | val_loss: 0.0311567 | Time: 4124.78 ms [2022-03-23 19:27:37 main:574] : INFO : Epoch 2042 | loss: 0.0311309 | val_loss: 0.031152 | Time: 4136.21 ms [2022-03-23 19:27:42 main:574] : INFO : Epoch 2043 | loss: 0.0311308 | val_loss: 0.0311577 | Time: 4249.48 ms [2022-03-23 19:27:46 main:574] : INFO : Epoch 2044 | loss: 0.0311336 | val_loss: 0.0311523 | Time: 4188.83 ms [2022-03-23 19:27:50 main:574] : INFO : Epoch 2045 | loss: 0.0311302 | val_loss: 0.0311504 | Time: 4139.11 ms [2022-03-23 19:27:55 main:574] : INFO : Epoch 2046 | loss: 0.0311285 | val_loss: 0.0311519 | Time: 4150.38 ms [2022-03-23 19:27:59 main:574] : INFO : Epoch 2047 | loss: 0.0311284 | val_loss: 0.0311491 | Time: 4174.76 ms [2022-03-23 19:28:03 main:574] : INFO : Epoch 2048 | loss: 0.0311318 | val_loss: 0.0311499 | Time: 4219.51 ms [2022-03-23 19:28:03 main:597] : INFO : Saving trained model to model-final.pt, val_loss 0.0311499 [2022-03-23 19:28:03 main:603] : INFO : Saving end state to config to file [2022-03-23 19:28:03 main:608] : INFO : Success, exiting.. 19:28:03 (2276): called boinc_finish(0) </stderr_txt> ]]>
©2022 MLC@Home Team
A project of the Cognition, Robotics, and Learning (CORAL) Lab at the University of Maryland, Baltimore County (UMBC)